Non-alcoholic fatty liver disease (NAFLD) is a metabolic disease characterized by abnormal deposition of lipid in hepatocytes. If not intervened in time, NAFLD may develop into liver fibrosis or liver cancer, and ultimately threatening life. NAFLD has complicated etiology and pathogenesis, and there are no effective therapeutic means and specific drugs. Currently, insulin sensitizers, lipid-lowering agents and hepatoprotective agents are often used for clinical intervention, but these drugs have obvious side effects, and their effectiveness and safety need to be further confirmed. Adenosine monophosphate (AMP)-activated protein kinase (AMPK) plays a central role in maintaining energy homeostasis. Activated AMPK can enhance lipid degradation, alleviate insulin resistance (IR), suppress oxidative stress and inflammatory response, and regulate autophagy, thereby alleviating NAFLD. Natural herbal medicines have received extensive attention recently because of their regulatory effects on AMPK and low side effects. In this article, we reviewed the biologically active natural herbal medicines (such as natural herbal medicine formulas, extracts, polysaccharides, and monomers) that reported in recent years to treat NAFLD via regulating AMPK, which can serve as a foundation for subsequent development of candidate drugs for NAFLD.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mutations are influenced by random and uncontrollable factors, and the risk of the next widespread epidemic remains. Dual-target drugs that synergistically act on two targets exhibit strong therapeutic effects and advantages against mutations. In this study, a novel computational workflow was developed to design dual-target SARS-CoV-2 candidate inhibitors with the Envelope protein and Main protease selected as the two target proteins. The drug-like molecules of our self-constructed 3D scaffold database were used as high-throughput molecular docking probes for feature extraction of two target protein pockets. A multi-layer perceptron (MLP) was employed to embed the binding affinities into a latent space as conditional vectors to control conditional distribution. Utilizing a conditional generative neural network, cG-SchNet, with 3D Euclidean group (E3) symmetries, the conditional probability distributions of molecular 3D structures were acquired and a set of novel SARS-CoV-2 dual-target candidate inhibitors were generated. The 1D probability, 2D joint probability, and 2D cumulative probability distribution results indicate that the generated sets are significantly enhanced compared to the training set in the high binding affinity area. Among the 201 generated molecules, 42 molecules exhibited a sum binding affinity exceeding 17.0 kcal/mol while 9 of them having a sum binding affinity exceeding 19.0 kcal/mol, demonstrating structure diversity along with strong dual-target affinities, good absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties, and ease of synthesis. Dual-target drugs are rare and difficult to find, and our "high-throughput docking-multi-conditional generation" workflow offers a wide range of options for designing or optimizing potent dual-target SARS-CoV-2 inhibitors.

Human mass balance study is a pivotal research in the field of clinical pharmacology, aiming at elucidating the metabolic and excretion pathways of drugs in humans. Currently, human mass balance studies predominantly employ radiolabeling techniques. Recently, both the U.S. Food and Drug Administration (FDA) and the Center for Drug Evaluation (CDE) of the China National Medical Products Administration (NMPA) issued related research drafts and guidelines to encourage and guide the pharmaceutical industry to conduct research in compliance with established standards. The selection of radiolabeling sites is crucial for obtaining critical information on drug metabolism. However, in vivo biotransformation may lead to partial disintegration of the molecular structure, thereby resulting in the loss of metabolic product information of the unlabeled moiety. Administering drugs with different radiolabeling sites separately or in combination, or labeling multiple radioactive isotopes within one molecule, can effectively solve this problem. This article reviews relevant technological progress, analyzes radiolabeling strategies, and discusses the application of drugs with multiple radiolabeling sites in human mass balance studies.

Objective To establish a real-time fluorescent recombinase polymerase amplification(RPA)technology for the detection of the virulence gene exoS of Pseudomonas aeruginosa,and evaluate the specifici-ty,sensitivity and practicability of the method.Methods According to the specific conserved region of the vir-ulence gene exoS of Pseudomonas aeruginosa,the specific primers and probes of RPA were designed,and the extracted target DNA was detected to determine the specificity and sensitivity of RPA.Real-time fluorescence quantitative PCR(qPCR)was established to detect the target DNA,and the detection limits of different detec-tion methods for Pseudomonas aeruginosa were compared.The feasibility of RPA in detecting Pseudomonas aeruginosa was further confirmed by the performance verification test of clinical samples.Results The estab-lished RPA detection method had good specificity.Only Pseudomonas aeruginosa had specific amplification curve,but no specific amplification curve for other bacteria.The sensitivity of RPA was 5×102 cfu/mL,which was consistent with the detection limit of qPCR and the results were reliable.The detection time of RPA method was only 30 min,which was significantly lower than that of the traditional method.Conclusion The RPA method for the detection of Pseudomonas aeruginosa established in this study has high specificity and sensitivity,and significantly shortens the detection time compared with the traditional detection method.It can be used for the rapid detection of Pseudomonas aeruginosa in clinical specimens.

Glioblastoma(GBM)is a lethal cancer with limited therapeutic options.Dendritic cell(DC)-based cancer vaccines provide a promising approach for GBM treatment.Clinical studies suggest that other immu-notherapeutic agents may be combined with DC vaccines to further enhance antitumor activity.Here,we report a GBM case with combination immunotherapy consisting of DC vaccines,anti-programmed death-1(anti-PD-1)and poly I:C as well as the chemotherapeutic agent cyclophosphamide that was integrated with standard chemoradiation therapy,and the patient remained disease-free for 69 months.The patient received DC vaccines loaded with multiple forms of tumor antigens,including mRNA-tumor associated antigens(TAA),mRNA-neoantigens,and hypochlorous acid(HOCl)-oxidized tumor lysates.Furthermore,mRNA-TAAAs were modified with a novel TriVac technology that fuses TAAs with a destabilization domain and inserts TAAs into full-length lysosomal associated membrane protein-1 to enhance major histo-compatibility complex(MHC)class Ⅰ and Ⅱ antigen presentation.The treatment consisted of 42 DC cancer vaccine infusions,26 anti-PD-1 antibody nivolumab administrations and 126 poly I:C injections for DC infusions.The patient also received 28 doses of cyclophosphamide for depletion of regulatory T cells.No immunotherapy-related adverse events were observed during the treatment.Robust antitumor CD4+and CD8+T-cell responses were detected.The patient remains free of disease progression.This is the first case report on the combination of the above three agents to treat glioblastoma patients.Our results suggest that integrated combination immunotherapy is safe and feasible for long-term treatment in this patient.A large-scale trial to validate these findings is warranted.

Objective: To establish and optimize PCR methods for the gene encoding of Clostridium perfringens β₂ toxin (cpb₂) and atypical-cpb₂ (aty-cpb₂), analyze the epidemiological characteristics and genetic polymorphism of the cpb₂ of Clostridium perfringens in 9 Chinese areas from 2016 to 2021. Methods: The cpb₂ of 188 Clostridium perfringens strains were examined by PCR; the cpb₂ sequences were acquired by whole-genome sequencing to analyze the genetic polymorphism. Using Mega 11 and the Makeblastdb tool, a phylogenetic tree, and cpb₂-library based on 110 strains carrying the cpb₂ were produced. Using the Blastn technique, a comparison was made to discover sequence similarity between consensus-cpb₂ (con-cpb₂) and aty-cpb₂. Results: The specificity of PCR assay for the cpb₂ and aty-cpb₂ was verified. The PCR results for cpb₂ amplification were highly consistent with the whole-genome sequencing approach (Kappa=0.946, P<0.001). A total of 107 strains from nine regions in China carried cpb₂, 94 types A strains carried aty-cpb₂, 6 types A strains carried con-cpb₂, and 7 types F strains carried aty-cpb₂. The nucleotide sequence similarity between the two coding genes was 68.97%-70.97%, and the similarity between the same coding genes was 98.00%-100.00%. Conclusions: In this study, a specific PCR method for cpb₂ toxin was developed, and the previous PCR method for detecting aty-cpb₂ was improved. aty-cpb₂ is the primary gene encoding of β₂ toxin. There is a significant nucleotide sequence variance between the various cpb₂ genotypes.
Humans ; Clostridium perfringens/genetics* ; Clostridium Infections ; Bacterial Toxins/genetics* ; Phylogeny ; Polymerase Chain Reaction ; Polymorphism, Genetic

Atrial Appendage/surgery* ; Atrial Fibrillation/surgery* ; Cardiac Catheterization ; Humans ; Septal Occluder Device ; Treatment Outcome

Clostridium perfringens can produce many kinds of toxins and hydrolase, causing gas gangrene, enteritis and enterotoxemia in both human and animals. It is known that C. perfringens can produce more than 20 toxins and hydrolases. The different toxin types are associated with specific disease types. At present, molecular toxin-typing method by PCR has replaced the traditional serological typing method. In this study, we systematically summarize the types, basic characteristics, pathogenic mechanism and the relationship with disease of C. perfringens toxins to provide evidence for the establishment of rapid detection method, immune antigen screening, antibody preparation and research of related pathogenic mechanism.
Animals ; Humans ; Clostridium perfringens ; Antibodies ; Polymerase Chain Reaction

Objective: To investigate the functional changes of key gut microbiota (GM) that produce lipopolysaccharide (LPS) in atrial fibrillation (AF) patients and to explore their potential role in the pathogenesis of AF. Methods: This was a prospective cross-sectional study. Patients with AF admitted to Beijing Chaoyang Hospital of Capital Medical University were enrolled from March 2016 to December 2018. Subjects with matched genetic backgrounds undergoing physical examination during the same period were selected as controls. Clinical baseline data and fecal samples were collected. Bacterial DNA was extracted and metagenomic sequencing was performed by using Illumina Novaseq. Based on metagenomic data, the relative abundances of KEGG Orthology (KO), enzymatic genes and species that harbored enzymatic genes were acquired. The key features were selected via the least absolute shrinkage and selection operator (LASSO) analysis. The role of GM-derived LPS biosynthetic feature in the development of AF was assessed by receiver operating characteristic (ROC) curve, partial least squares structural equation modeling (PLS-SEM) and logistic regression analysis. Results: Fifty nonvalvular AF patients (mean age: 66.0 (57.0, 71.3), 32 males(64%)) were enrolled as AF group. Fifty individuals (mean age 55.0 (50.5, 57.5), 41 males(82%)) were recruited as controls. Compared with the controls, AF patients showed a marked difference in the GM genes underlying LPS-biosynthesis, including 20 potential LPS-synthesis KO, 7 LPS-biosynthesis enzymatic genes and 89 species that were assigned as taxa harbored nine LPS-enzymatic genes. LASSO regression analysis showed that 5 KO, 3 enzymatic genes and 9 species could be selected to construct the KO, enzyme and species scoring system. Genes enriched in AF group included 2 KO (K02851 and K00972), 3 enzymatic genes (LpxH, LpxC and LpxK) and 7 species (Intestinibacter bartlettii、Ruminococcus sp. JC304、Coprococcus catus、uncultured Eubacterium sp.、Eubacterium sp. CAG:251、Anaerostipes hadrus、Dorea longicatena). ROC curve analysis revealed the predictive capacity of differential GM-derived LPS signatures to distinguish AF patients in terms of above KO, enzymatic and species scores: area under curve (AUC)=0.957, 95%CI: 0.918-0.995, AUC=0.940, 95%CI 0.889-0.991, AUC=0.972, 95%CI 0.948-0.997. PLS-SEM showed that changes in lipopolysaccharide-producing bacteria could be involved in the pathogenesis of AF. The key KO mediated 35.17% of the total effect of key bacteria on AF. After incorporating the clinical factors of AF, the KO score was positively associated with the significantly increased risk of AF (OR<0.001, 95%CI:<0.001-0.021, P<0.001). Conclusion: Microbes involved in LPS synthesis are enriched in the gut of AF patients, accompanied with up-regulated LPS synthesis function by encoding the LPS-enzymatic biosynthesis gene.
Aged ; Atrial Fibrillation/complications* ; Cross-Sectional Studies ; Gastrointestinal Microbiome ; Humans ; Lipopolysaccharides ; Male ; Middle Aged ; Prospective Studies

Aim To analyze the molecular mechanism of rhubarb in the treatment of aeute pancreatitis ( AP) by network pharmacology and molecular docking.Methods TCMSP,TCMID and Swiss target predic¬tion databases were used to screen the active compo¬nents and targets of rhubarb,and genecards and OMIM databases were used to screen the targets of AP.Then the active ingredient drug target network of rhubarb and theactive ingredient disease target network of rhubarb for AP were constructed by using Cytoscape software.PPI network was constructed in string database, and go and KEGG enrichment analysis was performed in metascape database and R language.Finally,molecular docking was used to verify the possibility of binding the core active components to the core target.Results A total of 192 active components and 1 882 AP targets were obtained.The first three active components of rhubarb in the treatment of AP were beta sitosterol, aloe emodin and eupatin.The core target of rhubarb in the treatment of AP was hsp90aal.Go enrichment analysis focused on reaction to toxic substances, while KEGG enrichment analysis was significantly enriched in p53 signaling pathway closely related to AP.Molecular docking showed good binding and stable conformation.Conclusions Rhubarb can affect the expression of AP related genes and proteins through p53 signaling pathway, thereby inhibiting cell apoptosis and allevia¬ting the inflammatory injury of AP.